Probabilistic Load Flow Including Wind Power Generation

被引：137

作者：

Villanueva, Daniel ^{[1
]}

Luis Pazos, Jose ^{[1
]}

Feijoo, Andres ^{[1
]}

机构：

[1] Univ Vigo, Dept Enxeneria Elect, ETSEI, Vigo 36310, Spain

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 2011年 / 26卷 / 03期

关键词：

Convolution; DC load flow; Fourier transform; power curves; probabilistic load flow; wind power; wind turbine; DISTRIBUTION-SYSTEMS;

D O I：

10.1109/TPWRS.2010.2096436

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, a procedure is established for calculating the load flow probability density function in an electrical power network, taking into account the presence of wind power generation. The probability density function of the power injected in the network by a wind turbine is first obtained by utilizing a quadratic approximation of its power curve. With this model, the DC power flow of a network is calculated, considering the probabilistic nature of the power injected or consumed by the generators and the loads.

引用

页码：1659 / 1667

页数：9

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